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Monserud1999

Daniel Falster edited this page Nov 25, 2014 · 1 revision

Report for study: Monserud1999

Contact Information

Data contributor: John Marshall

Email: jdm@uidaho.edu

Address:

  • Swedish Agricultural University, Department of Forest Ecology and Management, Skogmarksgränd, 90736 Umeå, Sweden

Data source

Citation: Monserud RA and Marshall JD (1999). 'Allometric crown relations in three northern Idaho conifer species.' Canadian Journal of Forest Research, 29(5), pp. 521-535.

DOI: 10.1139/x99-015

Abstract: Allometric equations predicting individual branch and total crown leaf area, leaf mass, and branch wood mass were developed for Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco var. glauca), ponderosa pine (Pinus ponderosa Dougl. ex Laws.), and western white pine (Pinus monticola Dougl. ex D. Don) on the Priest River Experimental Forest in northern Idaho. Whole crowns were weighed fresh in the field by crown quarter. Two antithetic random branches were sampled from each crown quarter, weighed fresh in the field, and returned to the laboratory for detailed analysis. Nonlinear weighted regression with the general allometric equation was used to estimate all parameters. For the branches, branch diameter and length, foliated length, and position in the crown explain 82-97% of the variation. Specific leaf area (leaf area/mass) differs significantly among species and increases with distance from the tree top. For whole trees, sapwood area at breast height, crown ratio and length, and crown competition factor (CCF) explain 94-99% of the variation. The assumption of linearity and constant ratio between leaf area and sapwood area held rather generally. Differences between two alternative estimators (branch summation vs. crown weighing) of total crown biomass and leaf area were not statistically significant. For stands, stand totals were estimated from the whole-tree equations and stand-inventory data. Generally, these stand estimates were intermediate between coastal forests west of the Cascades and drier forests in the rain shadow of the Rocky Mountain crest.

Overview of data provided

The dataset includes records for 64 individuals from 3 species belonging to 1 family(ies), presenting 1 functional type(s), growing in 1 condition(s) within 1 major type(s) of habitat, with data included for the following variables:

Variable Label Units N Min Median Max
latitude Latitude deg 64 48 48 48
longitude Longitude deg 64 -117 -117 -117
age Age yr 64 95 95 95
a.lf Leaf area m2 64 6.2 209 2198
a.ssbh Sapwood area at breast height m2 63 0.0015 0.037 0.27
a.ssbc Sapwood area at crown base m2 64 0.0013 0.022 0.19
a.stbh Stem area at breast height m2 64 0.0018 0.096 0.61
a.cp Crown area m2 64 0.83 10 49
a.cs Crown surface area m2 64 8 118 652
h.t Height m 64 3.6 29 45
h.c Height to crown base m 64 0.23 13 24
d.bh Dbh m 64 0.048 0.35 0.88
h.bh Height of d.bh measurement m 64 1.3 1.3 1.3
d.cr Crown width m 64 1 3.6 7.9
c.d Crown depth m 64 2.5 14 33
m.lf Leaf mass kg 64 0.81 20 241
m.br Branch mass kg 64 1.8 73 1218

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And locally within the country:

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The sites sampled are:

Location Longitude Latitude Vegetation
Priest River Experimental Forest -116.835 48.35167 Temperate forest

The growing conditions of sampled plants was:

Location growingCondition
Priest River Experimental Forest field wild

Species sampled

Species Family Pft
Pinus monticola Pinaceae evergreen gymnosperm
Pinus ponderosa Pinaceae evergreen gymnosperm
Pseudotsuga menziesii var. glauca Pinaceae evergreen gymnosperm

Methods used

Sampling strategy: Trees chosen purposively to represent the full range of diameters in the nine stands sampled, avoiding obvious signs of disease or insect attack. Two sampling strategies were compared. The first used antithetic sampling of branches within crown quarters; these branches were used with branch diameter measurements throughout the crown to infer whole crown mass estimates. A second strategy was to weigh the green crown by quarters and then use the sample branches to divide total mass into its components. We thus compared a 'bottom-up' sample to a 'top-down' disaggregation.

Leaf area: Current foliage was collected from sample branches and frozen. Frozen samples were thawed and measured for projected leaf area using the Mocha image analysis program (Jandal Scientific). The sample needles where then dried in 70degC and specific leaf area was determined. SLA was then used to estimate total leaf area.

Stem cross sectional area: Determined on sawn cross-sections with image-processing software.

Height: Total height and height to to the crown base (lowest contiguous living whorl) was measured from the ground

Crown area: Estimated from branch lengths, which were estimated from regressions on diameter

Biomass: Harvested between completion of needle elongation and commencement of needle fall . Estimated by bottom-up methods from sample branches and by top-down methods from green crown weights.

Traits: Also specific leaf area, sapwood cross-sectional area and foliated length of branches.

Plots of data

This is how the study Monserud1999 fits in the entire dataset (grey). each colour represents a species. A legend of species names with colours is included at the end for reports with 1 < n < 20 species.

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